Tailored Automation
The conversation highlights the potential for creating personalized agents that adapt to individual workflows, enhancing automation in various fields. While LLMs excel in generating code and orchestrating tasks, there's a recognized need for improved abstraction and user interfaces that move beyond text. The future may see a shift towards semi-automated processes, allowing for greater efficiency and customization.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Cohere's SVP Technology - Saurabh Baji
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